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IMPACT OF HOST COMMUNITY COMPOSITION ON LYME DISEASE RISK

2008; Wiley; Volume: 89; Issue: 10 Linguagem: Inglês

10.1890/07-1047.1

1939-9170

Kathleen LoGiudice, Shannon Duerr, Michael J. Newhouse, Kenneth A. Schmidt, Mary Killilea, Richard S. Ostfeld,

Viral Infections and Vectors

EcologyVolume 89, Issue 10 p. 2841-2849 Article IMPACT OF HOST COMMUNITY COMPOSITION ON LYME DISEASE RISK Kathleen LoGiudice, Corresponding Author Kathleen LoGiudice [email protected] Department of Biological Sciences, Union College, Schenectady, New York 12308 USA Cary Institute of Ecosystem Studies, Box AB, Millbrook, New York 12545 USA E-mail: [email protected]Search for more papers by this authorShannon T. K. Duerr, Shannon T. K. Duerr Cary Institute of Ecosystem Studies, Box AB, Millbrook, New York 12545 USASearch for more papers by this authorMichael J. Newhouse, Michael J. Newhouse Cary Institute of Ecosystem Studies, Box AB, Millbrook, New York 12545 USASearch for more papers by this authorKenneth A. Schmidt, Kenneth A. Schmidt Cary Institute of Ecosystem Studies, Box AB, Millbrook, New York 12545 USA Texas Tech University, MS 3131, Lubbock, Texas 79409 USASearch for more papers by this authorMary E. Killilea, Mary E. Killilea Cary Institute of Ecosystem Studies, Box AB, Millbrook, New York 12545 USASearch for more papers by this authorRichard S. Ostfeld, Richard S. Ostfeld Cary Institute of Ecosystem Studies, Box AB, Millbrook, New York 12545 USASearch for more papers by this author Kathleen LoGiudice, Corresponding Author Kathleen LoGiudice [email protected] Department of Biological Sciences, Union College, Schenectady, New York 12308 USA Cary Institute of Ecosystem Studies, Box AB, Millbrook, New York 12545 USA E-mail: [email protected]Search for more papers by this authorShannon T. K. Duerr, Shannon T. K. Duerr Cary Institute of Ecosystem Studies, Box AB, Millbrook, New York 12545 USASearch for more papers by this authorMichael J. Newhouse, Michael J. Newhouse Cary Institute of Ecosystem Studies, Box AB, Millbrook, New York 12545 USASearch for more papers by this authorKenneth A. Schmidt, Kenneth A. Schmidt Cary Institute of Ecosystem Studies, Box AB, Millbrook, New York 12545 USA Texas Tech University, MS 3131, Lubbock, Texas 79409 USASearch for more papers by this authorMary E. Killilea, Mary E. Killilea Cary Institute of Ecosystem Studies, Box AB, Millbrook, New York 12545 USASearch for more papers by this authorRichard S. Ostfeld, Richard S. Ostfeld Cary Institute of Ecosystem Studies, Box AB, Millbrook, New York 12545 USASearch for more papers by this author First published: 01 October 2008 https://doi.org/10.1890/07-1047.1Citations: 164 Corresponding Editor: M. F. Antolin. Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat Abstract The drivers of variable disease risk in complex multi-host disease systems have proved very difficult to identify. Here we test a model that explains the entomological risk of Lyme disease (LD) in terms of host community composition. The model was parameterized in a continuous forest tract at the Cary Institute of Ecosystem Studies (formerly the Institute of Ecosystem Studies) in New York State, USA. We report the results of continuing longitudinal observations (10 years) at the Cary Institute, and of a shorter-term study conducted in forest fragments in LD endemic areas of Connecticut, New Jersey, and New York, USA. Model predictions were significantly correlated with the observed nymphal infection prevalence (NIP) in both studies, although the relationship was stronger in the longer-term Cary Institute study. Species richness was negatively, albeit weakly, correlated with NIP (logistic regression), and there was no relationship between the Shannon diversity index (H′) and NIP. Although these results suggest that LD risk is in fact dependent on host diversity, the relationship relies explicitly on the identities and frequencies of host species such that conventional uses of the term biodiversity (i.e., richness, evenness, H′) are less appropriate than are metrics that include species identity. This underscores the importance of constructing interaction webs for vertebrates and exploring the direct and indirect effects of anthropogenic stressors on host community composition. Citing Literature Supporting Information Filename Description https://dx.doi.org/10.6084/m9.figshare.c.3300593 Research data pertaining to this article is located at figshare.com: Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article. Volume89, Issue10October 2008Pages 2841-2849 RelatedInformation